Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Raleigh Orthopaedic · Athelas
Vendor-reportedHealthcareIn productionNLP
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by athelas.com (vendor self-report). Checked against the source page on 2026-09-06. 0 of 5 figures below appear on that page word for word; the rest are marked.
The problem
Disconnected systems leading to a billing backlog.
What was deployed
- Vendor
- Athelas
- Products
- Athelas, Athelas Air EHR, Ambient AI, RCM
- Technique
- NLP
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- partially denied claims related to authorization issues
- Scale
- More than 140 providers on a single, integrated system
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
81.5Billing backlogwithin weeks
“saw an 81.5% drop in billing backlog”
Not found on the source page in these words
15.3Weekly revenue growthwithin weeks
“15.3% weekly revenue growth within weeks”
Not found on the source page in these words
81.1%Accuracy of AI-powered authorization denial review
“AI-powered authorization denial review achieving 81.1% accuracy”
Not found on the source page in these words
Pending site-related work itemsweek over week
“81.5% reduction in pending site-related work items week over week”
Not found on the source page in these words
Weekly revenue postedweek over week
“15.3% increase in weekly revenue posted”
Not found on the source page in these words
Manual workload on the billing team
“Significantly reduced manual intervention from the billing team”
Not found on the source page in these words
“At Raleigh Orthopaedic, we were ready to move away from juggling disconnected systems and partial solutions that created more complexity than clarity. With Athelas, we see a true end-to-end platform that supports both clinical and administrative needs from patient intake through RCM seamlessly in one place. Rather than bolting AI onto outdated tools, we want to build on a foundation intentionally designed for the future of healthcare.”
Sources
- athelas.com — vendor self-report, 2026-08-21
- athelas.com — vendor self-report, 2026-08-13
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